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Forventes på lager: 30-05-2020
The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning.
| Forlag | Springer Verlag, Singapore |
| Forfattere | Zhouchen Lin, Huan Li, Cong Fang |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2020 ed. |
| Udgivelsesdato | 30-05-2020 |
| Første udgivelsesår | 2020 |
| Illustrationer | 36 Illustrations, black and white; XXIV, 275 p. 36 illus. |
| Originalsprog | Singapore |
| Sideantal | 275 |
| Indbinding | Hardback |
| Forlag | Springer Verlag, Singapore |
| Sideoplysninger | 275 pages, 36 Illustrations, black and white; XXIV, 275 p. 36 illus. |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9789811529092 |